Evidence map›Paper›PMID 26932372›Full record

ArticleMolecular genetics and genomics : MGG2016

SNP discovery in common bean by restriction-associated DNA (RAD) sequencing for genetic diversity and population structure analysis.

Paula Arielle M R Valdisser, Georgios J Pappas, Ivandilson P P de Menezes, Bárbara S F Müller, Wendell J Pereira, Marcelo G Narciso, Claudio Brondani, Thiago L P O Souza, Tereza C O Borba, Rosana P Vianello

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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Genome-wide association study for grain mineral content in a Brazilian common bean diversity panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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  13. Genetic relationships amongEcology and evolution · 2017
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Paula Arielle M R ValdisserLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil.
Georgios J PappasLaboratório de Biologia Molecular, Departamento de Biologia Celular, Universidade de Brasília (UnB), Brasilia, DF, Brazil.
Ivandilson P P de MenezesLaboratório de Genética e Biologia Molecular, Departamento de Biologia, Instituto Federal Goiano (IF Goiano), Urutaí, GO, Brazil.
Bárbara S F MüllerPrograma de Pós-Graduação em Biologia Molecular, Universidade de Brasília (UnB), Brasilia, DF, Brazil.
Wendell J PereiraPrograma de Pós-Graduação em Ciências Biológicas, Universidade Federal de Goiás (UFG), Goiânia, GO, Brazil.
Marcelo G NarcisoLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil.
Claudio BrondaniLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil.
Thiago L P O SouzaLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil.
Tereza C O BorbaLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil.
Rosana P VianelloLaboratório de Biotecnologia, Embrapa Arroz e Feijão, Santo Antônio de Goiás, GO, Brazil. rosana.vianello@embrapa.br.ORCID http://orcid.org/0000-0003-0644-5652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers have made great advances into the development and application of genomic approaches for common beans, creating opportunities to driving more real and applicable strategies for sustainable management of the genetic resource towards plant breeding. This work provides useful polymorphic single-nucleotide polymorphisms (SNPs) for high-throughput common bean genotyping developed by RAD (restriction site-associated DNA) sequencing. The RAD tags were generated from DNA pooled from 12 common bean genotypes, including breeding lines of different gene pools and market classes. The aligned sequences identified 23,748 putative RAD-SNPs, of which 3357 were adequate for genotyping; 1032 RAD-SNPs with the highest ADT (assay design tool) score are presented in this article. The RAD-SNPs were structurally annotated in different coding (47.00 %) and non-coding (53.00 %) sequence components of genes. A subset of 384 RAD-SNPs with broad genome distribution was used to genotype a diverse panel of 95 common bean germplasms and revealed a successful amplification rate of 96.6 %, showing 73 % of polymorphic SNPs within the Andean group and 83 % in the Mesoamerican group. A slightly increased He (0.161, n = 21) value was estimated for the Andean gene pool, compared to the Mesoamerican group (0.156, n = 74). For the linkage disequilibrium (LD) analysis, from a group of 580 SNPs (289 RAD-SNPs and 291 BARC-SNPs) genotyped for the same set of genotypes, 70.2 % were in LD, decreasing to 0.10 %in the Andean group and 0.77 % in the Mesoamerican group. Haplotype patterns spanning 310 Mb of the genome (60 %) were characterized in samples from different origins. However, the haplotype frameworks were under-represented for the Andean (7.85 %) and Mesoamerican (5.55 %) gene pools separately. In conclusion, RAD sequencing allowed the discovery of hundreds of useful SNPs for broad genetic analysis of common bean germplasm. From now, this approach provides an excellent panel of molecular tools for whole genome analysis, allowing integrating and better exploring the common bean breeding practices.

Indexed as

Polymorphism, Single NucleotideCluster AnalysisDNA, PlantEvolution, MolecularGenotypeHaplotypesPhaseolusSequence AlignmentSequence Analysis, DNADNA, PlantHaplotype blocksLeguminosaeLinkage disequilibriumPhaseolus vulgarisSNP discovery

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.